One key method for ensuring privacy while processing large amounts of data is de-identification. De-identified data refers to data through which a link to a particular individual cannot be established. This often involves “scrubbing” the identifiable elements of personal data, making it “safe” in privacy terms while attempting to retain its commercial and scientific value. In the era of big data, the debate over the definition of personal information, de-identification and re-identification has never been more important. Privacy regimes often rely on data being considered Personal in order to require the application of privacy rights and protections. Data that is anonymous is considered free of privacy risk and available for public use. Yet much data that is collected and used exists somewhere on a spectrum between these stages. FPF’s De-ID Project has examined practical frameworks for applying privacy restrictions to data based on the nature of data that is collected, the risks of de-identification, and the additional legal and administrative protections that may be applied. The project’s work is led by Kelsey Finch.
Introduction On September 13, 2019, the California State Legislature passed the final CCPA amendments of 2019. Governor Newsom is expected to sign the recently passed CCPA amendments into law in […]
The Right to Be Forgotten: Future of Privacy Forum Statement on Decisions by European Court of Justice
WASHINGTON, DC – September 24, 2019 – Statement by Future of Privacy Forum CEO Jules Polonetsky regarding two European Court of Justice decisions announced today in its cases with Google: […]
Under the radar of ongoing debates over the California Consumer Privacy Act (CCPA), the California Senate Judiciary Committee will also soon be considering, at a July 9th hearing, an unusual […]
On Friday, the Future of Privacy Forum submitted comments to the Office of the California Attorney General (AG), Xavier Becerra. Read FPF’s Full Comments (11-page letter) See Attachment 1: Comparing […]
Strava’s location data controversy demonstrates the unique challenges of publicly releasing location datasets (open data), even when the data is aggregated.
Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers
Today, the Future of Privacy Forum released a new study, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers. In this report, we aim to contribute to the literature by seeking the “ground truth” from the corporate sector about the challenges they encounter when they consider making data available for academic research. We hope that the impressions and insights gained from this first look at the issue will help formulate further research questions, inform the dialogue between key stakeholders, and identify constructive next steps and areas for further action and investment.
New Study: Companies are Increasingly Making Data Accessible to Academic Researchers, but Opportunities Exist for Greater Collaboration
Washington, DC – Today, the Future of Privacy Forum released a new study, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers. In this report, FPF reveals findings from research and interviews with experts in the academic and industry communities. Three main areas are discussed: 1) The extent to which leading companies make data available to support published research that contributes to public knowledge; 2) Why and how companies share data for academic research; and 3) The risks companies perceive to be associated with such sharing, as well as their strategies for mitigating those risks.
Jules Polonetsky, CEO, Future of Privacy Forum, Omer Tene, Senior Fellow, Future of Privacy Forum, and Daniel Goroff, Vice President and Program Director, Alfred P. Sloan Foundation authored a paper titled Privacy Protective Research: Facilitating Ethically Responsible Access to Administrative Data. This paper will be featured in an upcoming edition of The Annals of the American Academy of Political and Social Science.
Future of Privacy Forum is pleased to announce it has published the inaugural issue of the Privacy Scholarship Reporter. This regular newsletter will highlight recent privacy research and is published by the Privacy Research and Data Responsibility Network (RCN), an FPF initiative supported by the National Science Foundation.
Searching for effective methods and frameworks of de-identification often looks like chasing the Golden Goose of privacy law. For each answer that claims to unlock the question of anonymisation, there seems to be a counter-answer that declares anonymisation dead. In an attempt to de-mystify this race and un-tangle de-identification in practical ways, the Future of Privacy Forum and the Brussels Privacy Hub joined forces to organize the Brussels Symposium on De-identification – “Identifiability: Policy and Practical Solutions for Anonymisation and Pseudonymisation”.